Fusion and diversity trade-offs in cooperative estimation over fading channels

Authors:
Mehrzad Malmirchegini;Yasamin Mostofi
Affiliations:
Cooperative Network Lab, Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico;Cooperative Network Lab, Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

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Abstract

In this paper we consider a network of distributed sensors that are trying to measure a parameter of interest cooperatively, by exchanging their acquired information repeatedly over fading channels. We consider different ways of using the available bandwidth, in terms of what each node can send to its neighbors. More specifically, we characterize the impact of local fusion and show how it is a suitable policy when graph connectivity is low. When poor link qualities are the main bottleneck, on the other hand, we show how a diversity approach can be more beneficial. The proposed framework highlights the underlying tradeoffs between fusion and diversity approaches in cooperative networks. It furthermore explores the impact of multiple sensing on the overall performance.